bcai

boschresearch/OASIS

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

boschresearch/BCAI_kaggle_CHAMPS

Bosch solution to CHAMPS Kaggle competition

boschresearch/multiplicative-filter-networks

Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.

boschresearch/Continuous-Recurrent-Units

boschresearch/ALDM

Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)

boschresearch/PR-SSM

Python implementation of the PR-SSM.

boschresearch/Open3DSG

[CVPR 2024] Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships

boschresearch/hierarchical_anomaly_detection

Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)

boschresearch/data-augmentation-coling2020

Code accompanying Coling2020 publication on data augmentation for named entity recognition

boschresearch/MetaBO

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization

boschresearch/amira_blender_rendering

Code base for physics-based photorealistic rendering within the scope of Bosch BCAI AMIRA probject

boschresearch/blackboxopt

Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.

boschresearch/meta-adversarial-training

Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.

boschresearch/nuScenes_Knowledge_Graph

Implementation and Knowledge Graphs of the ICCV 2023 workshop paper "nuScenes Knowledge Graph - A comprehensive semantic representation of traffic scenes for trajectory prediction"

boschresearch/sofc-exp_textmining_resources

Resources related to ACL 2020 paper "The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain"

boschresearch/GMM_DAE

boschresearch/anno-ctr-lrec-coling-2024

AnnoCTR corpus for detection and linking of entities in cyber threat reports

boschresearch/metanas

Meta-Learning of Neural Architectures for Few-Shot Learning

boschresearch/statestream

A toolbox to explore synchronous layerwise-parallel deep neural networks.

boschresearch/local_neural_transformations

Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Local Neural Transformations" by Tim Schneider et al.

boschresearch/hierarchical_patent_classification_ecir2021

boschresearch/adversarial_meta_embeddings

Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"

boschresearch/evidential-occupancy

Official implementation of "Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory"

boschresearch/steps-parser

boschresearch/trajectory_games_learning

This is the companion code for the method reported in the paper "Learning game-theoretic models of multiagent trajectories using implicit layers" published at AAAI 2021

boschresearch/DD_OPG

Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.

boschresearch/GridSaliency-ToyDatasetGen

Code for toy dataset generation of "Grid Saliency for Context Explanations of Semantic Segmentation" (https://arxiv.org/abs/1907.13054)

boschresearch/NoisyInputEntropySearch

This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020

boschresearch/trust-region-layers

Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning"

boschresearch/FedTPG

Code for the ICLR 2024 paper Federated Text-driven Prompt Generation for Vision-Language Models (https://openreview.net/forum?id=NW31gAylIm)

boschresearch/GP_tutorial

boschresearch/imax-calibration

Official Implementation of "Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning".

boschresearch/PAC_GP

Implementation of the PAC Bayesian GP learning method.

boschresearch/meta-rs

Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.

boschresearch/ad_cskg

Dataset of a collection of commonsense knowledge assertions relevant for the autonomous driving (AD) domain.